Prevalence and predictors of insomnia and sleep medication use in a large tri-service US military sample

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Abstract

Objective: The presence of insomnia in the general military population is not well known. This study aimed to determine the prevalence of probable clinical insomnia and identify factors leading to new-onset insomnia and/or sleep medication use in a large military population. Design: Cross-sectional and longitudinal analyses of a prospective cohort study. Participants: A tri-service US military and veteran cohort (sample range 99,383-137,114). Measurements: Participants were surveyed in 2013 (Time 1 [T1]) and 2016 (Time 2 [T2]) using the clinically validated Insomnia Severity Index. The prevalence of insomnia and sleep medication use was quantified at both times. Multivariable models identified military factors associated with new-onset insomnia and/or sleep medication use while adjusting for covariates. Results: The prevalence of insomnia at T1 and T2 was 16.3% and 11.2%, respectively. New-onset insomnia at T2 was reported by 6.0% of participants screening negative at T1; risk factors included Army service, combat deployment experience, and separation from military service. The prevalence of sleep medication use at T1 and T2 was 23.1% and 25.1%, respectively. Sleep medication use at T2 was newly-reported by 17.1% of participants not reporting sleep medication use at T1; risk factors included number of deployments and having a healthcare occupation. Conclusions: The prevalence of probable clinical insomnia in this large general military population is within the range of previous reports in military and civilian populations. Certain military factors that predict new-onset insomnia and/or sleep medication use should be considered when designing and implementing sleep interventions in military populations.

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Markwald, R. R., Carey, F. R., Kolaja, C. A., Jacobson, I. G., Cooper, A. D., & Chinoy, E. D. (2021). Prevalence and predictors of insomnia and sleep medication use in a large tri-service US military sample. Sleep Health, 7(6), 675–682. https://doi.org/10.1016/j.sleh.2021.08.002

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